Ambient Assisted Living (AAL) aims to ease the activities of daily lives for elderly or disabled people living in smart homes. In these systems, the assisting services are provided by use of the sensors that detect the location of inhabitants. Even though the cost and performance efficiencies of sensor networks depend directly on the number of the deployed sensors as well as the approaches that are employed to track the location of inhabitants, these factors are separately considered in research studies. In this paper, we propose an approach to track a target in smart homes. We present a new Integer Linear Programming (ILP) model that i. optimizes the number of the deployed sensors according to our proposed target tracking approach, ii. determines the placement of sensors in the network while considering the layout of the Region of Interest (RoI), iii. proposes appropriate settings for the sensors' field of view and their orientation, and, iv. deploys sensors according to the satisfaction of a reliability level in the network. In order to validate the proposed model and show its applicability, we use two sets of data, including real data gathered from a living lab and randomly generated data, as well as a test scenario. We also present a user interface that employs the concepts, which are presented in this research. The interface helps to easily monitor the location, energy consumption and well-being factors of a target in an AAL environment.

环境辅助生活（AAL）旨在缓解居住在智能家居中的老年人或残疾人的日常生活活动。在这些系统中，通过使用检测居民位置的传感器来提供辅助服务。即使传感器网络的成本和性能效率直接取决于部署的传感器的数量以及用于跟踪居民位置的方法，但在研究中仍会单独考虑这些因素。在本文中，我们提出了一种跟踪智能家居目标的方法。我们提出了一种新的整数线性规划（ILP）模型。根据我们建议的目标跟踪方法，优化部署的传感器数量； ii。确定网络中传感器的位置，同时考虑感兴趣区域（RoI）的布局，iii。为传感器的视野及其方向提出适当的设置，并且iv。根据网络中可靠性级别的满意程度部署传感器。为了验证提出的模型并显示其适用性，我们使用了两组数据，包括从居住的实验室收集的真实数据和随机生成的数据，以及一个测试场景。我们还介绍了采用本研究中介绍的概念的用户界面。该界面有助于轻松监控AAL环境中目标的位置，能耗和福祉因素。为了验证提出的模型并显示其适用性，我们使用了两组数据，包括从居住的实验室收集的真实数据和随机生成的数据，以及一个测试场景。我们还介绍了采用本研究中介绍的概念的用户界面。该界面有助于轻松监控AAL环境中目标的位置，能耗和福祉因素。为了验证提出的模型并显示其适用性，我们使用了两组数据，包括从居住的实验室收集的真实数据和随机生成的数据，以及一个测试场景。我们还介绍了采用本研究中介绍的概念的用户界面。该界面有助于轻松监控AAL环境中目标的位置，能耗和福祉因素。